CHEK2 and cancer: Machine learning models based on seven LM-related genes (CHEK2, LIPT1, TUFM, NDUFA10, AGK, PNPLA2, and GFM1) accurately predicted immunotherapy outcomes for multiple cancer types, including LUSC, and outperformed other currently known biomarkers.